# LICENSE HEADER MANAGED BY add-license-header
#
# Copyright 2018 Kornia Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import torch

import kornia

from testing.base import BaseTester


class TestPsnr(BaseTester):
    def test_metric(self, device, dtype):
        sample = torch.ones(1, device=device, dtype=dtype)
        expected = torch.tensor(20.0, device=device, dtype=dtype)
        actual = kornia.metrics.psnr(sample, 1.2 * sample, 2.0)
        self.assert_close(actual, expected)
